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DATA: Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads 1127 0 42 1002 0 39 862 26 25 638 25 25

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DATA:
Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads
1127 0 42
1002 0 39
862 26 25
638 25 25
939 32 32
924 31 31
927 34 35
1119 35 36
925 39 25
987 38 24
1691 46 43
1610 45 43
1037 51 50
880 52 48
1384 54 20
1324 55 21
1441 63 29
1366 57 29
1492 62 36
1668 67 36
1924 72 41
1793 72 39
Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. Compare these results to a multiple linear regression model using both independent variables. State the model and explain R-square, Significance F. and p-values, with an aipha of 0.05 . Click the icon to view the Concert Sales data. State the hypotheses for the simple linearregression tests. H0 : H1 : State the model predicting ConcertSales as a function of Radio\&TV, the number (in thousands) of radio and TV ads. ConcertSales =+ Radio\&TV (Type integers or decimals rounded to three decimal places as needed.) The value of R2. indicates that % of the variation in the variable is explained by this variable. (Type integers or decimals rounded to three decimal places as needed.) The Significance F is (Type an integer or decimal rounded to three decimal places as needed.) The Radio\&TV p-value is (Type an integer or decimal rounded to three decimal places as needed.) Because the p-value and Significance F are the chosen level of significance, the null hypothesis. The results suggest that the variable for the regression model. State the model predicting ConcertSales as a function of Newspaper, the number (in thousands) of newspaper ads. ConcertSales = | Newspaper (Type integers or decimals rounded to three decimal places as needed.) The value of R2. indicates that \% of the variation in the varlable is explained by this variable. (Type integers or decimals rounded to three decimal places as needed.) The Significance F is (Type an integer or decimal rounded to three decimal places as needed.) The Newspaper p-value is (Type an integer or decimal rounded to three decimal places as needed.) Because the p-value and Significance F are the chosen level of significance, the null hypothesis. The result: suggest that the variable for the regression model. State the hypotheses for the multiple linear regression test. H0:H1: State the model predicting ConcertSales as a function of Radio\&TV and Newspaper, the number (in thousands) of radio and TV ads and newspaper ads, respectively. ConcertSales=+Radio&T+Newspaper State the model predicting ConcertSales as a function of Radio\&TV and Newspaper, the number (in thousands) of radio and TV ads and newspaper ads, respectively. ConcertSales = Radio\&TV+ Newspaper (Type integers or decimals rounded to three decimal places as needed.) The value of R2. indicates that % of the variation in is explained by (Type integers or decimals rounded to three decimal places as needed.) The Significance F is (Type an integer or decimal rounded to three decimal places as needed.) The Radio\&TV p-value is (Type an integer or decimal rounded to three decimal places as needed.) The Newspaper p-value is (Type an integer or decimal rounded to three decimal places as needed.) Because the Significance F is the chosen level of significance, the null hypothesis. The results suggest that the overall model and that is/are not significant for the regresision model. data table for the concert sales data Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. Compare these results to a multiple linear regression model using both independent variables. State the model and explain R-square, Significance F. and p-values, with an aipha of 0.05 . Click the icon to view the Concert Sales data. State the hypotheses for the simple linearregression tests. H0 : H1 : State the model predicting ConcertSales as a function of Radio\&TV, the number (in thousands) of radio and TV ads. ConcertSales =+ Radio\&TV (Type integers or decimals rounded to three decimal places as needed.) The value of R2. indicates that % of the variation in the variable is explained by this variable. (Type integers or decimals rounded to three decimal places as needed.) The Significance F is (Type an integer or decimal rounded to three decimal places as needed.) The Radio\&TV p-value is (Type an integer or decimal rounded to three decimal places as needed.) Because the p-value and Significance F are the chosen level of significance, the null hypothesis. The results suggest that the variable for the regression model. State the model predicting ConcertSales as a function of Newspaper, the number (in thousands) of newspaper ads. ConcertSales = | Newspaper (Type integers or decimals rounded to three decimal places as needed.) The value of R2. indicates that \% of the variation in the varlable is explained by this variable. (Type integers or decimals rounded to three decimal places as needed.) The Significance F is (Type an integer or decimal rounded to three decimal places as needed.) The Newspaper p-value is (Type an integer or decimal rounded to three decimal places as needed.) Because the p-value and Significance F are the chosen level of significance, the null hypothesis. The result: suggest that the variable for the regression model. State the hypotheses for the multiple linear regression test. H0:H1: State the model predicting ConcertSales as a function of Radio\&TV and Newspaper, the number (in thousands) of radio and TV ads and newspaper ads, respectively. ConcertSales=+Radio&T+Newspaper State the model predicting ConcertSales as a function of Radio\&TV and Newspaper, the number (in thousands) of radio and TV ads and newspaper ads, respectively. ConcertSales = Radio\&TV+ Newspaper (Type integers or decimals rounded to three decimal places as needed.) The value of R2. indicates that % of the variation in is explained by (Type integers or decimals rounded to three decimal places as needed.) The Significance F is (Type an integer or decimal rounded to three decimal places as needed.) The Radio\&TV p-value is (Type an integer or decimal rounded to three decimal places as needed.) The Newspaper p-value is (Type an integer or decimal rounded to three decimal places as needed.) Because the Significance F is the chosen level of significance, the null hypothesis. The results suggest that the overall model and that is/are not significant for the regresision model. data table for the concert sales data

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